ArticleInformation processing & management2021
Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter.
Article in Information processing & management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A bimodal longitudinal investigation on changes in sentiments over social media interactions owing to COVID-19 pandemic.Scientific reports · 2025Article
- Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies.Journal of medical Internet research · 2025Article
- The COVID-19 quandemic.Globalization and health · 2024Article
- Infodemic: Challenges and solutions in topic discovery and data process.Archives of public health = Archives belges de sante publique · 2023Article
- Complementary, alternative, and integrative medicine-specific COVID-19 misinformation on social media: A scoping review.Integrative medicine research · 2023Article
- Unveiling Vaccine Hesitancy on Twitter: Analyzing Trends and Reasons during the Emergence of COVID-19 Delta and Omicron Variants.Vaccines · 2023Article
- Long-term impacts of COVID-19 pandemic on travel behaviour.Travel behaviour & society · 2023Article
- Does Social Media Users' Interaction Influence the Formation of Echo Chambers? Social Network Analysis Based on Vaccine Video Comments on YouTube.International journal of environmental research and public health · 2022Article
- Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach.Information processing & management · 2022Article
- An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage.Information processing & management · 2022Article
- Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic.Information processing & management · 2022Article
- Knowing Well, Being Well: well-being born of understanding: The Urgent Need for Coordinated and Comprehensive Efforts to Combat Misinformation.American journal of health promotion : AJHP · 2022Article
- Digital haemophilia: Insights into the use of social media for haemophilia care, research and advocacy.Haemophilia : the official journal of the World Federation of Hemophilia · 2022Article
- Exploring the role of digital media dependency on the relationship between personal involvement and flashbulb memory during the pandemic: Empirical evidence from Mainland China.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Correcting misconceptions and false beliefs are important for injecting reliable information about COVID-19 into public discourse, but what impact does this have on the continued proliferation of misinforming claims? Fact-checking organisations produce content with the aim of reducing misinformation spread, but our knowledge of its impact on misinformation for particular topics and demographics is limited. In this article, we explore the relation between misinformation and fact-checking spread during the COVID-19 pandemic for different topics, user demographics and attributes. We specifically follow misinformation and fact-checks emerging from December 2019 until the 4th of January 2021 on Twitter. Using a combination of spread variance analysis, impulse response modelling and causal analysis, we highlight the bidirectional, weak causation spread behaviour between misinformation and fact-checks. Although we observe that fact-checks about COVID-19 are appearing fairly quickly after misinformation is circulated, its ability to reduce overall misinformation spread appears to be limited. This is especially visible for misinformation about conspiracy theories and the causes of the virus.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.